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Three Papers on the Role of Informat...

Fresneda Fernandez, Jorge Eduardo.

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Three Papers on the Role of Information in Online Consumer Reviews.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Three Papers on the Role of Information in Online Consumer Reviews./
Author:	Fresneda Fernandez, Jorge Eduardo.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	250 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.
Contained By:	Dissertation Abstracts International78-12A(E).
Subject:	Marketing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10288536
ISBN:	9780355069310

Three Papers on the Role of Information in Online Consumer Reviews.
Fresneda Fernandez, Jorge Eduardo.

Three Papers on the Role of Information in Online Consumer Reviews. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 250 p.

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.

Thesis (Ph.D.)--Drexel University, 2017.

This dissertation is comprised of three papers. The first two papers investigate how the various informational elements of online reviews, including their textual portion, impact the perceived helpfulness of those reviews. The third paper proposes a methodological refinement to improve the process by which reviews and reviewers are ranked with respect to their helpfulness and has potential applicability in fake review detection. These three papers utilize natural language processing methods, including Latent Semantic Analysis (LSA), which allows for the automatic analysis of large amounts of text with minimal human intervention.

ISBN: 9780355069310Subjects--Topical Terms:

536353
Marketing.

Three Papers on the Role of Information in Online Consumer Reviews.
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245 1 0 $a Three Papers on the Role of Information in Online Consumer Reviews.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 250 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.
500 $a Advisers: David Gefen; Rolph E. Anderson.
502 $a Thesis (Ph.D.)--Drexel University, 2017.
520 $a This dissertation is comprised of three papers. The first two papers investigate how the various informational elements of online reviews, including their textual portion, impact the perceived helpfulness of those reviews. The third paper proposes a methodological refinement to improve the process by which reviews and reviewers are ranked with respect to their helpfulness and has potential applicability in fake review detection. These three papers utilize natural language processing methods, including Latent Semantic Analysis (LSA), which allows for the automatic analysis of large amounts of text with minimal human intervention.
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650 4 $a Systems science. $3 3168411
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793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10288536